Document Detail


A mixed-effects expectancy-valence model for the Iowa gambling task.
MedLine Citation:
PMID:  19587175     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The Iowa gambling task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994) was developed to simulate real-life decision making under uncertainty. The task has been widely used to examine possible neurocognitive deficits in normal and clinical populations. Busemeyer and Stout (2002) proposed the expectancy-valence (EV) model to explicitly account for individual participants' repeated choices in the IGT. Parameters of the EV model presumably measure different psychological processes that underlie performance on the task, and their values may be used to differentiate individuals across different populations. In the present article, the EV model is extended to include both fixed effects and subject-specific random effects. The mixed-effects EV model fits the nested structure of observations in the IGT naturally and provides a unified procedure for parameter estimation and comparisons among groups of populations. We illustrate the utility of the mixed-effects approach with an analysis of gender differences using a real data set. A simulation study was conducted to verify the advantages of this approach.
Authors:
Chung-Ping Cheng; Ching-Fan Sheu; Nai-Shing Yen
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Behavior research methods     Volume:  41     ISSN:  1554-351X     ISO Abbreviation:  -     Publication Date:  2009 Aug 
Date Detail:
Created Date:  2009-07-09     Completed Date:  2009-10-01     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101244316     Medline TA:  Behav Res Methods     Country:  United States    
Other Details:
Languages:  eng     Pagination:  657-63     Citation Subset:  IM    
Affiliation:
Department of Psychology, National Chengchi University, Taipei, Taiwan. cpcheng@nccu.edu.tw
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MeSH Terms
Descriptor/Qualifier:
Cognition
Computer Simulation
Decision Making*
Female
Gambling / psychology*
Humans
Male
Models, Psychological*
Sex Characteristics

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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